Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Connect Strava training data to Claude for training load analysis and activity insights
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"strava": {
"command": "uvx",
"args": [
"strava-training-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add strava -- uvx strava-training-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"strava": {
"command": "uvx",
"args": [
"strava-training-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"strava": {
"type": "stdio",
"command": "uvx",
"args": [
"strava-training-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 ArjanLig 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.3.2)于8个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, MONS
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Build and adjust your clients' MONS training plans: programs, templates, exercises, sets, reps.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Connect your Strava training data to Claude. This MCP server turns Claude into your personal training coach — analyzing your training load, planning workouts, and tracking your progress. Works with cycling, running, and any sport you track on Strava.
Works with Claude Desktop and claude.ai on any plan. Free plans can add 1 custom connector (remove any existing connector first), Pro and Max are unlimited.
This takes about 2 minutes. You need a free Strava API app so Claude can access your data.
strava-mcp-web.vercel.apphttps://strava-mcp-web.vercel.app/mcp
Click Connect on the newly added connector. This opens a page where you enter your Strava Client ID and Client Secret, then authorize with Strava.
That's it! Ask Claude about your training.
The server exposes 10 tools:
| Tool | Description |
|---|---|
get_recent_activities | Your last activities with distance, duration, and heart rate |
get_activity_details | Deep dive into a specific activity — power, HR, speed, suffer score |
get_training_load_analysis | ATL, CTL, TSB with training advice and 8-week trends |
get_weekly_stats | Weekly volume — activities, kilometers, hours |
get_weekly_training_plan | Weekly plan based on current fitness and fatigue |
get_gear_maintenance | Bike/shoe km totals with chain, cassette, tire warnings |
get_power_curve | Best power outputs (5s–60min), FTP estimate, monthly comparison |
get_hr_zone_distribution | Time in each HR zone with polarized training advice |
get_hr_drift_analysis | Cardiac drift in steady rides — aerobic efficiency indicator |
check_workout_quality | Interval consistency, power decoupling, recovery scoring |
"I want to ride tonight, what should I do?"
"How is my training load looking?"
"Check the quality of my last interval workout"
"When do I need to replace my chain?"
"What's my FTP and how does it compare to last month?"
"Am I spending enough time in zone 2?"
"I'm training for a 150km race in April — am I on track?"
Claude pulls your Strava data in real-time and reasons about it in context — your recent rides, fitness trend, fatigue level, and goals.
Training load analysis uses the standard PMC model:
Gear maintenance tracks km on each bike and shoe, warning when chain (3000km), cassette (6000km), tires (5000km), or cables (8000km) need attention.
Power curve finds your best efforts across durations and estimates FTP at 95% of your 20-minute power.
HR analysis covers zone distribution (are you polarizing enough?) and cardiac drift (is your aerobic base improving?).
Connector not working? Remove and re-add the connector in Settings → Connectors.
Authentication error? Check that your Strava API app has strava-mcp-web.vercel.app as the callback domain.
MIT